一键导入
agent-sort
通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查,为特定仓库构建基于证据的 ECC 安装计划,将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查,为特定仓库构建基于证据的 ECC 安装计划,将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Track and report Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by model, session, or date.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains for any language, installing system-level dependencies (compilers, databases, native libs like openssl/BLAS), pinning exact package versions for a team, running local services (PostgreSQL, Redis, Kafka), onboarding developers with one command, or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use only for advanced packaging/optimization (minimal size, fast startup), not basic script-to-exe conversion. 中文触发:Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
| name | agent-sort |
| description | 通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查,为特定仓库构建基于证据的 ECC 安装计划,将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。 |
| origin | ECC |
当仓库需要项目特定的 ECC 表面而非默认完整安装时,使用此技能。
目标不是猜测"什么感觉有用"。目标是根据实际代码库中的证据对 ECC 组件进行分类。
按顺序生成以下工件:
仅使用两个分类:
DAILY
LIBRARY
在进行任何分类之前,使用仓库本地证据:
有用的命令包括:
rg --files
rg -n "typescript|react|next|supabase|django|spring|flutter|swift"
cat package.json
cat pyproject.toml
cat Cargo.toml
cat pubspec.yaml
cat go.mod
如果并行子代理可用,将审查分为以下轮次:
agents/*skills/*commands/*rules/*如果子代理不可用,则按顺序运行相同的轮次。
在分类任何内容之前,确定实际技术栈:
对于每个候选表面,记录:
使用此格式:
skills/frontend-patterns | skill | DAILY | 84 个 .tsx 文件,存在 next.config.ts | 核心前端技术栈
skills/django-patterns | skill | LIBRARY | 无 .py 文件,无 pyproject.toml | 此仓库中未激活
rules/typescript/* | rules | DAILY | 存在 package.json + tsconfig.json | 活跃的 TS 仓库
rules/python/* | rules | LIBRARY | 零个 Python 源文件 | 仅保持可访问
提升至 DAILY 当:
降级至 LIBRARY 当:
将分类转化为行动:
.claude/skills/skill-library 保持可访问如果仓库已使用选择性安装,则更新该计划而非创建另一个系统。
如果项目需要可搜索的库表面,创建:
.claude/skills/skill-library/SKILL.md该路由器应包含:
不要在路由器内重复每个技能的主体。
应用计划后,验证:
返回一个简洁的报告,包含:
如果下一步是交互式安装或修复,交接至:
configure-ecc如果下一步是重叠清理或目录审查,交接至:
skill-stocktake如果下一步是更广泛的上下文修剪,交接至:
strategic-compact按此顺序返回结果:
栈
- 语言/框架/运行时摘要
日常
- 始终加载的条目及证据
库
- 可搜索/参考的条目及证据
安装计划
- 应安装、移除或路由的内容
验证
- 已运行的检查及剩余差距